Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2011, Kos Island, Greece, October 5-7, 2011. Revised Selected Papers

Research Article

Numerical Assessment of EEG Electrode Artifacts during EMF Exposure in Human Provocation Studies

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  • @INPROCEEDINGS{10.1007/978-3-642-29734-2_57,
        author={Maria Christopoulou and Orestis Kazasidis and Konstantina Nikita},
        title={Numerical Assessment of EEG Electrode Artifacts during EMF Exposure in Human Provocation Studies},
        proceedings={Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2011, Kos Island, Greece, October 5-7, 2011. Revised Selected Papers},
        proceedings_a={MOBIHEALTH},
        year={2012},
        month={10},
        keywords={Specific Absorption Rate (SAR) Finite Difference Time Domain (FDTD) method numerical dosimetry electroencephalogram (EEG) electrode human provocation study},
        doi={10.1007/978-3-642-29734-2_57}
    }
    
  • Maria Christopoulou
    Orestis Kazasidis
    Konstantina Nikita
    Year: 2012
    Numerical Assessment of EEG Electrode Artifacts during EMF Exposure in Human Provocation Studies
    MOBIHEALTH
    Springer
    DOI: 10.1007/978-3-642-29734-2_57
Maria Christopoulou1,*, Orestis Kazasidis1,*, Konstantina Nikita1,*
  • 1: National Technical University of Athens
*Contact email: mchrist@biosim.ntua.gr, orestis.kaza@gmail.com, knikita@cc.ece.ntua.gr

Abstract

The paper presents the numerical evaluation of the electroencephalogram (EEG) electrode artifacts that are caused during exposure to electromagnetic fields (EMF), in volunteers study. The scope of the study is to differentially present the electromagnetic (EM) power absorption and local Specific Absorption Rate (SAR) distribution, with and without the electrodes. Versions of two basic exposure scenarios are evaluated: flat layered tissue phantom and anatomical head model exposed to plane wave or patch antenna radiation at operating frequency of 1966 MHz. Finite Difference Time Domain (FDTD) method is used in order to model the computational domain. E-field distributions and SAR values are calculated. The electromagnetic power absorption by the brain tissues is correlated with the presence of the EEG electrodes and the relative positioning of their leads. Results conclude in significant alternations in EM power absorption, E-field and SAR distributions, due to the co-polarization between the leads and the E-field. Concerning the realistic scenario, the presence of 32 electrodes and their leads enhances (11% without and 12.3% with electric contact) the psSAR, comparing to the reference simulation.